CrossMeta-ViT: Concomitant Cross-Attention Guided Multimodal Fusion for Skin Lesion Classification
The CrossMeta-ViT framework is evaluated on the smartphone-captured PAD-UFES-20 dataset for binary classification (Benign vs. Malignant) and results support the model as a recall-oriented and interpretable multimodal aid for telemedicine pre-triage rather than as a universally dominant classifier.